Research Data Management is a continuum of practices. It continues throughout the course of a research project. You will likely jump around and move between phases in the lifecycle, but you should always start at the Plan & Design phase. During the Plan & Design phase, you will need to know:
Use a checklist to help plan and design your work:
You may need to create a Data Management Plan during this phase. Additional guidance for preliminary steps before creating a plan is available in this guide under the Cost and Compliance tab.
Before launching a research project, design a model for capturing, storing, and organizing your data. Consider project
Design how you will store your data:
Store & Manage is a key component of the Data Lifecycle touching on every stage. Researchers will need to plan for:
Consider data storage requirements for the project.
Follow required retention and preservation requirements as established by your institution or funding agency. The Data Curation Network has developed extensive guidance on working with and keeping research data.
Find a repository for sharing and publishing. SUNY offers the following resources, which should be considered first:
Other repositories available:
Data publishing repositories should follow FAIR principles https://www.go-fair.org/fair-principles/
In general, raw data are considered facts and cannot be copyrighted. Community norms for data attribution and scholarly communication are often more successful in documenting origins of data than licensing restrictions when possible.
Data license considerations include the following:
